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pro vyhledávání: '"Jayanti, Prasad"'
We design two Recoverable Mutual Exclusion (RME) locks for the system-wide crash model. Our first algorithm requires only $O(1)$ space per process, and achieves $O(1)$ worst-case RMR complexity in the CC model. Our second algorithm enhances the first
Externí odkaz:
http://arxiv.org/abs/2302.00748
Linearizability has been the long standing gold standard for consistency in concurrent data structures. However, proofs of linearizability can be long and intricate, hard to produce, and extremely time consuming even to verify. In this work, we addre
Externí odkaz:
http://arxiv.org/abs/2302.00737
We present durable implementations for two well known universal primitives -- CAS (compare-and-swap), and its ABA-free counter-part LLSC (load-linked, store-conditional). All our implementations are: writable, meaning they support a Write() operation
Externí odkaz:
http://arxiv.org/abs/2302.00135
Autor:
Jayanti, Prasad, Joshi, Anup
Recent advances in non-volatile main memory (NVRAM) technology have spurred research on designing algorithms that are resilient to process crashes. This paper is a fuller version of our conference paper \cite{jayanti:rmeabort}, which presents the fir
Externí odkaz:
http://arxiv.org/abs/2012.03140
In light of recent advances in non-volatile main memory technology, Golab and Ramaraju reformulated the traditional mutex problem into the novel {\em Recoverable Mutual Exclusion} (RME) problem. In the best known solution for RME, due to Golab and He
Externí odkaz:
http://arxiv.org/abs/1904.02124
Autor:
Jayanti, Prasad, Jayanti, Siddhartha
The abortable mutual exclusion problem was introduced by Scott and Scherer to meet a need that arises in database and real time systems, where processes sometimes have to abandon their attempt to acquire a mutual exclusion lock to initiate recovery f
Externí odkaz:
http://arxiv.org/abs/1809.04561
Autor:
Jayanti, Prasad1 (AUTHOR), Joshi, Anup1 (AUTHOR) anup.s.joshi.gr@dartmouth.edu
Publikováno v:
Computing. Oct2022, Vol. 104 Issue 10, p2225-2252. 28p.
Autor:
Jayanti Prasad
The primary data for Covid-19 pandemic is in the form of time series for the number of confirmed, recovered and dead cases. This data is updated every day and is available for most countries from multiple sources such as [Gar20b, iD20]. In this work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09bdf104d3ba4f80c602e2d0977a2793
https://doi.org/10.1101/2020.05.22.20110171
https://doi.org/10.1101/2020.05.22.20110171
Publikováno v:
ACM International Conference Proceeding Series; 1/4/2020, p1-10, 10p